Description Amazon Economics is seeking Reduced Form Causal Analysis (RFCA) Economist Interns who are passionate... hours per week, with hourly compensation). You'll work with large-scale datasets to analyze causal relationships and inform...
Lugar:
Seattle, WA | 29/10/2026 20:10:53 PM | Salario: S/. No Especificado | Empresa:
Amazon to push the boundaries of causal reasoning in LLMs. The intern will collaborate with our interdisciplinary team of machine... causally and to develop methods for testing and improving causal reasoning. The project will be focused on researching...
rewards Solid grounding in both causal inference and counterfactual evaluation Good understanding of ML libraries...
representations (entities, temporal relationships, and causal interactions) Develop temporal graph modeling techniques to capture...
to have but not essential: Hands-on experience with any of Snowflake, dbt, Git, Airflow or Lightdash. Exposure to A/B testing or causal...
Lugar:
Austin, TX | 06/11/2026 18:11:27 PM | Salario: S/. No Especificado | Empresa:
Wise explores innovative analytical approaches, including causal inference, Bayesian methods, real-world data analytics, artificial...
method for the decision. Apply predictive modeling and forecasting, experimentation and A/B testing, causal or program... in one or more of forecasting, experimentation, causal inference, anomaly detection, risk stratification, optimization, or measurement design...
products and processes comply with requirements Participate in problem resolution for quality issues including causal... analysis and implementation of preventive actions Becoming proficient in causal analysis tools (e.g. 5 Why Method, Ishikawa...
, and explore frontier AI approaches such as natural-language-to-SQL and causal root-cause analysis. About the role.... · Explore root-cause analysis (RCA) methods using causal analysis, statistical techniques, machine learning, and engineering...
by breaking it apart into smaller pieces, and/or tracing the implications of a situation in a step-by-step causal way. Results...